Web: http://arxiv.org/abs/2209.02836

Sept. 16, 2022, 1:15 a.m. | Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory

cs.CV updates on arXiv.org arxiv.org

In this work, we study how the performance and evaluation of generative image
models are impacted by the racial composition of their training datasets. By
examining and controlling the racial distributions in various training
datasets, we are able to observe the impacts of different training
distributions on generated image quality and the racial distributions of the
generated images. Our results show that the racial compositions of generated
images successfully preserve that of the training data. However, we observe
that truncation, …

arxiv bias gans race studying

More from arxiv.org / cs.CV updates on arXiv.org

Postdoctoral Fellow: ML for autonomous materials discovery

@ Lawrence Berkeley National Lab | Berkeley, CA

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Computational Linguist

@ Constant Contact | Waterloo, ON/Hybrid, ON

Senior Data Scientist

@ Advian | Espoo, Finland

Data Scientist, EU In-stock Management

@ Gopuff | London, England